Abstract: In an embodiment, a computer-implemented method for dynamically exchanging runtime state data between datacenters using a controller bridge is disclosed. In an embodiment, the method comprises: requesting, and receiving, one or more first runtime state data from one or more logical sharding central control planes (“CCPs”) controlling one or more logical sharding hosts; requesting, and receiving, one or more second runtime state data from one or more physical sharding CCPs controlling one or more physical sharding hosts; aggregating, to aggregated runtime state data, the one or more first runtime state data and the one or more second runtime state data; determining updated runtime state data based on the aggregated runtime state data, the one or more first runtime state data, and the one or more second runtime state data; and transmitting the updated runtime state data to the logical sharding CCPs and physical sharding CCPs.

Abstract: Some embodiments of the invention provide a method for deploying network elements for a set of machines in a set of one or more datacenters. The datacenter set is part of one availability zone in some embodiments. The method receives intent-based API (Application Programming Interface) requests, and parses these API requests to identify a set of network elements to connect and/or perform services for the set of machines. In some embodiments, the API is a hierarchical document that can specify multiple different compute and/or network elements at different levels of compute and/or network element hierarchy. The method performs automated processes to define a virtual private cloud (VPC) to connect the set of machines to a logical network that segregates the set of machines from other machines in the datacenter set. In some embodiments, the set of machines include virtual machines and containers, the VPC is defined with a supervisor cluster namespace, and the API requests are provided as YAML files.

Abstract: Some embodiments of the invention provide a method for deploying network elements for a set of machines in a set of one or more datacenters. The datacenter set is part of one availability zone in some embodiments. The method receives intent-based API (Application Programming Interface) requests, and parses these API requests to identify a set of network elements to connect and/or perform services for the set of machines. In some embodiments, the API is a hierarchical document that can specify multiple different compute and/or network elements at different levels of compute and/or network element hierarchy. The method performs automated processes to define a virtual private cloud (VPC) to connect the set of machines to a logical network that segregates the set of machines from other machines in the datacenter set. In some embodiments, the set of machines include virtual machines and containers, the VPC is defined with a supervisor cluster namespace, and the API requests are provided as YAML files.

Abstract: Some embodiments of the invention provide a method for deploying network elements for a set of machines in a set of one or more datacenters. The datacenter set is part of one availability zone in some embodiments. The method receives intent-based API (Application Programming Interface) requests, and parses these API requests to identify a set of network elements to connect and/or perform services for the set of machines. In some embodiments, the API is a hierarchical document that can specify multiple different compute and/or network elements at different levels of compute and/or network element hierarchy. The method performs automated processes to define a virtual private cloud (VPC) to connect the set of machines to a logical network that segregates the set of machines from other machines in the datacenter set. In some embodiments, the set of machines include virtual machines and containers, the VPC is defined with a supervisor cluster namespace, and the API requests are provided as YAML files.

Abstract: Some embodiments of the invention provide a method for deploying network elements for a set of machines in a set of one or more datacenters. The datacenter set is part of one availability zone in some embodiments. The method receives intent-based API (Application Programming Interface) requests, and parses these API requests to identify a set of network elements to connect and/or perform services for the set of machines. In some embodiments, the API is a hierarchical document that can specify multiple different compute and/or network elements at different levels of compute and/or network element hierarchy. The method performs automated processes to define a virtual private cloud (VPC) to connect the set of machines to a logical network that segregates the set of machines from other machines in the datacenter set. In some embodiments, the set of machines include virtual machines and containers, the VPC is defined with a supervisor cluster namespace, and the API requests are provided as YAML, files.

Abstract: Some embodiments of the invention provide a method for deploying network elements for a set of machines in a set of one or more datacenters. The datacenter set is part of one availability zone in some embodiments. The method receives intent-based API (Application Programming Interface) requests, and parses these API requests to identify a set of network elements to connect and/or perform services for the set of machines. In some embodiments, the API is a hierarchical document that can specify multiple different compute and/or network elements at different levels of compute and/or network element hierarchy. The method performs automated processes to define a virtual private cloud (VPC) to connect the set of machines to a logical network that segregates the set of machines from other machines in the datacenter set. In some embodiments, the set of machines include virtual machines and containers, the VPC is defined with a supervisor cluster namespace, and the API requests are provided as YAML, files.

Abstract: Some embodiments of the invention provide a method for deploying network elements for a set of machines in a set of one or more datacenters. The datacenter set is part of one availability zone in some embodiments. The method receives intent-based API (Application Programming Interface) requests, and parses these API requests to identify a set of network elements to connect and/or perform services for the set of machines. In some embodiments, the API is a hierarchical document that can specify multiple different compute and/or network elements at different levels of compute and/or network element hierarchy. The method performs automated processes to define a virtual private cloud (VPC) to connect the set of machines to a logical network that segregates the set of machines from other machines in the datacenter set. In some embodiments, the set of machines include virtual machines and containers, the VPC is defined with a supervisor cluster namespace, and the API requests are provided as YAML files.

Abstract: For a managed network including multiple host machines implementing multiple logical networks, some embodiments provide a method that reduces the memory and traffic load required to implement the multiple logical networks. The method generates configuration data for each of multiple host machines including (i) data to configure a host machine to implement a set of logical forwarding elements that belong to a set of routing domains and (ii) identifiers for each routing domain in the set of routing domains. The method then receives data regarding tunnels endpoints operating on each of the host machines and an association with the routing identifiers sent to the host machines. The method then generates a routing domain tunnel endpoint list for each routing domain based on the data received from each of the host machines including a list of the tunnel endpoints associated with the routing domain which the host machines can use to facilitate packet processing.

Abstract: A method of defining a virtual network across a plurality of physical hosts is provided. At least two hosts utilize network virtualization software provided by two different vendors. Each host hosts a set of data compute nodes (DCNs) for one or more tenants. The method, at an agent at a host, receives a command from a network controller, the command includes (i) an identification a resource on a tenant logical network and (ii) an action to perform on the identified resource. The method, at the agent, determines the network virtualization software utilized by the host. The method, at the agent, translates the received action into a set of configuration commands compatible with the network virtualization software utilized by the host. The method sends the configuration commands to a network configuration interface on the host to perform the action on the identified resource.

Abstract: A method of determining the span of logical entities in a network is provided. The method generates a directed graph. Each node of the graph corresponds to a logical network entity. Each edge of the graph has one or two directions. A direction from a first node to a second node identifies the first node as the source of span for the second node. The method determines the span of each node based on the direction of the edges of the directed graph. The method groups each set of nodes that are accessible by all other nodes in the set in a strongly connected group (SCC) sub-graph. The method generates a group node in a directed acyclic graph (DAG) to correspond to each SCC sub-graph in the directed graph. The method assigns the span of each SCC to the corresponding group node of the DAG.

Abstract: A method of allocating network bandwidth in a network that includes several tenant virtual machines (VMs). The method calculates a first bandwidth reservation for a flow between a source VM and a destination VM that are hosted on two different host machines. The source VM sends packets to a first set of VMs that includes the destination VM. The destination VM receives packets from a second set of VMs that includes the source VM. The method receives a second bandwidth reservation for the flow calculated at the destination. The method sets the bandwidth reservation for the flow as a minimum of the first and second bandwidth reservations.

Abstract: Example methods and systems for container-based connectivity check in a software-defined networking (SDN) environment are disclosed. One example method may comprise detecting, a request for a connectivity check between a first container-based resource and a second container-based resource; identifying a first logical network element and a second logical network element; and injecting a connectivity check packet at the first logical network element for forwarding towards the second logical network element. The example method also may comprise: obtaining report information associated with one or more intermediate logical network elements located along a path that is traversed by the connectivity check packet; and determining a connectivity status associated with the first container-based resource and the second container-based resource based on the report information.

Abstract: Example methods are provided for first host to perform multicast packet handling in a software-defined networking (SDN) environment. The method may comprise: in response to the first host detecting, from a first virtualized computing instance, a request to join a multicast group address, obtaining control information from a network management entity. The control information may include one or more destination addresses associated with one or more second hosts that have joined the multicast group address on behalf of multiple second virtualized computing instances. The method may also comprise: in response to the first host detecting an egress multicast packet that includes an inner header addressed to the multicast group address, generating one or more encapsulated multicast packets based on the control information and sending the one or more encapsulated multicast packets in a unicast manner or multicast manner, or a combination of both.

Abstract: For a managed network including multiple host machines implementing multiple logical networks, some embodiments provide a method that reduces the memory and traffic load required to implement the multiple logical networks. The method generates configuration data for each of multiple host machines including (i) data to configure a host machine to implement a set of logical forwarding elements that belong to a set of routing domains and (ii) identifiers for each routing domain in the set of routing domains. The method then receives data regarding tunnels endpoints operating on each of the host machines and an association with the routing identifiers sent to the host machines. The method then generates a routing domain tunnel endpoint list for each routing domain based on the data received from each of the host machines including a list of the tunnel endpoints associated with the routing domain which the host machines can use to facilitate packet processing.

Abstract: Systems and methods of communicating between a plurality of hosts comprising one or more first hosts controlled by a first control plane and one or more second hosts controlled by a second control plane are disclosed herein. Each of the one or more first hosts runs at least one tunneling endpoint of one or more first tunneling endpoints, and each of the one or more second hosts runs at least one tunneling endpoint of one or more second tunneling endpoint. The method includes storing, at each of the one or more first hosts, a global list identifying at least the one or more second tunneling endpoints. The method further includes receiving a packet at one of the one or more first tunneling endpoints. The method further includes replicating, encapsulating, and transmitting the packet to each of the one or more second tunneling endpoints based on the global list.

Abstract: Example methods and systems for container-based network policy configuration in a software-defined networking (SDN) environment are disclosed. One example method may comprise: in response to detecting a first request to assign a container-based resource with a first label via a container orchestration system, assigning a logical network element associated with the container-based resource with a second label. The example method may also comprise: in response to detecting a second request to configure a container-based network policy associated with the container-based resource via the container orchestration system, identifying the logical network element by mapping the first label to the second label; and configuring the container-based network policy to be applicable to network traffic that is forwarded via the logical network element.

Abstract: In an embodiment, a computer-implemented method for dynamically exchanging runtime state data between datacenters with a gateway using a controller bridge is disclosed. In an embodiment, the method comprises: receiving one or more first runtime state data from one or more logical sharding central control planes (“CCPs”) controlling one or more logical sharding hosts; receiving one or more second runtime state data from a gateway that is controlled by a CCP that also controls one or more physical sharding hosts; aggregating to aggregated runtime state data, the one or more first runtime state data received from the one or more logical sharding CCPs and the one or more second runtime state data received from the gateway; determining updated runtime state data based on the aggregated runtime state data, the one or more first runtime state data, and the one or more second runtime state data; and transmitting the updated runtime state data to at least one of the one or more logical sharding CCPs and the gateway.

Abstract: In an embodiment, a computer-implemented method for dynamically exchanging runtime state data between datacenters using a controller bridge is disclosed. In an embodiment, the method comprises: requesting, and receiving, one or more first runtime state data from one or more logical sharding central control planes (“CCPs”) controlling one or more logical sharding hosts; requesting, and receiving, one or more second runtime state data from one or more physical sharding CCPs controlling one or more physical sharding hosts; aggregating, to aggregated runtime state data, the one or more first runtime state data and the one or more second runtime state data; determining updated runtime state data based on the aggregated runtime state data, the one or more first runtime state data, and the one or more second runtime state data; and transmitting the updated runtime state data to the logical sharding CCPs and physical sharding CCPs.

Abstract: Some embodiments provide a method for assigning different service path identifiers to each of a set of different service paths along each of which a same set of service operations are performed on a set of packets. The method retrieves an available service path identifier from an identifier storage that stores service path identifiers for multiple service paths. The method generates a set of proposed service path identifiers based on the retrieved available service path identifier and the number of service paths in the set of service paths. The method performs a write operation on the identifier storage based on the set of proposed service path identifiers, and based on a determination that the write operation was successful, assigns the set of proposed service path identifiers to the set of service paths. Based on the set of service path identifiers, the method forwards the set of packets along the set of service paths.

Abstract: Certain embodiments described herein are generally directed to configuring a generic channel for exchanging information between a hypervisor and a virtual machine run by the hypervisor that resides on a host machine. In some embodiments, the generic channel represents a network or communication path enabled by a logical switch that connects a HyperBus running on the hypervisor and a node agent running on the virtual machine. In some embodiments, network traffic handled by the generic channel is isolated from incoming and outgoing network traffic between the virtual machine and one or more other virtual machines or hosts.